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Field
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to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement
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or Oropouche viruses). Other projects include improving risk assessment, optimizing surveillance system design, and developing and evaluating mitigation strategies. These projects aim to integrate epidemiology
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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a possible extension depending on the availability of funds. The individual will be involved in ongoing research projects involving developing, implementing, optimizing, and applying MR-based
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. Pay Range: 75,000-77,000K The Stanford Mineral-X (link is external) seeks a highly motivated and skilled postdoctoral scholar to join our research project on optimization of critical minerals
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of deterministic and stochastic dynamical systems, optimal control, network models, and machine learning. Preference will be given to candidates with experience in these areas. The researcher will work closely with
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, industrial energy systems, energy efficiency of manufacturing industry, or other related fields. You will play a crucial role in the planning, execution, and optimization of our technical assistance program
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Postdoctoral Affairs. The FY25 minimum is $76,383. Integrating Natural and Cultural Data: Focus Area, Indian Ocean Data gathering, assessment, and modeling across disciplinary divides offers an optimal approach
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optimization of new quantum materials. Data Analysis and Interpretation Perform quantitative analysis of research data; Use statistical and computational tools to interpret results and generate insights; Present
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funded by the National Science Foundation. The position is focused on performance analysis and optimization of the MILC code and the libraries it calls such as QUDA or Grid. The successful applicant can